| Literature DB >> 30361107 |
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Abstract
BACKGROUND: Modelled mortality estimates have been useful for health programmes in low-income and middle-income countries. However, these estimates are often based on sparse and low-quality data. We aimed to generate high quality data about the burden, timing, and causes of maternal deaths, stillbirths, and neonatal deaths in south Asia and sub-Saharan Africa.Entities:
Mesh:
Year: 2018 PMID: 30361107 PMCID: PMC6227247 DOI: 10.1016/S2214-109X(18)30385-1
Source DB: PubMed Journal: Lancet Glob Health ISSN: 2214-109X Impact factor: 26.763
Enrolment, pregnancy outcomes, and rates of maternal and neonatal mortality
| Bangladesh | 30 253 | 28 701 | 1655 (5·8%) | 1068 | 26 295 | 122 | 995 | 456 (375–538) | 39·0 (36·7–41·3) | 37·8 (35·5–40·2) | |
| India | |||||||||||
| Haryana | 38 600 | 38 240 | 2765 (7·2%) | 798 | 35 000 | 74 | 1399 | 191 (146–237) | 22·3 (20·8–23·8) | 40·0 (37·9–42·0) | |
| Uttar Pradesh | 40 738 | 40 298 | 1162 (2·9%) | 1479 | 37 813 | 161 | 1575 | 399 (336–463) | 37·6 (35·8–39·5) | 41·7 (39·6–43·7) | |
| Pakistan | |||||||||||
| Matiari | 31 144 | 28 771 | 700 (2·4%) | 1211 | 27 062 | 70 | 1269 | 259 (198–319) | 42·8 (40·5–45·2) | 46·9 (44·4–49·4) | |
| Karachi | 19 790 | 18 354 | 663 (3·6%) | 675 | 17 189 | 81 | 862 | 460 (358–561) | 37·8 (35·0–40·6) | 50·1 (46·9–53·4) | |
| Democratic Republic of the Congo | 6407 | 6330 | 20 (0·3%) | 155 | 6145 | 75 | 173 | 1188 (917–1459) | 24·6 (20·8–28·4) | 28·2 (24·0–32·3) | |
| Ghana | 25 790 | 24 857 | 1063 (4·3%) | 654 | 23 640 | 79 | 687 | 326 (253–398) | 26·9 (24·9–29·0) | 29·1 (26·9–31·2) | |
| Kenya | 31 059 | 31 023 | 170 (0·5%) | 233 | 30 992 | 29 | 397 | 94 (60–128) | 7·5 (6·5–8·4) | 12·8 (11·6–14·1) | |
| Tanzania | |||||||||||
| Ifakara | 8881 | 8253 | 88 (1·1%) | 123 | 8128 | 33 | 221 | 406 (268–544) | 14·9 (12·3–17·5) | 27·2 (23·7–30·8) | |
| Pemba | 19 774 | 19 537 | 431 (2·2%) | 498 | 18 882 | 66 | 303 | 350 (265–434) | 25·7 (23·5–27·9) | 16·0 (14·3–17·8) | |
| Zambia | 25 750 | 25 266 | 44 (0·2%) | 441 | 25 082 | 22 | 363 | NA | 17·3 (15·7–18·9) | 14·5 (13·0–16·0) | |
| South Asia | 160 525 | 154 364 | 6945 (4·5%) | 5231 | 143 359 | 508 | 6100 | 336 (247–458) | 35·1 (28·5–43·1) | 43·0 (39·0–47·3) | |
| Sub-Saharan Africa | 117 661 | 115 296 | 1816 (1·6%) | 2104 | 112 869 | 304 | 2144 | 351 (168–732) | 17·1 (12·5–25·8) | 20·1 (14·6–27·6) | |
| Overall | 278 186 | 269 630 | 8761 (3·2%) | 7335 | 256 228 | 812 | 8244 | .. | .. | .. | |
Data are n, n (%), rate (95% CI), or ratio (95% CI). NA=not applicable.
Number of maternal deaths calculated by multiplying the number of all pregnancy-related deaths in a site by the proportion of non-accidental deaths among those with completed verbal autopsies in that site.
Zambia was excluded from calculation of the maternal mortality ratio because of differences in enrolment strategy of women of reproductive age.
Obtained from meta-analysis.
Figure 1Associations between stillbirths and pregnancy-related deaths (A) and between stillbirths and neonatal deaths (B)
Ratios are indicated in parentheses for each site: stillbirths to pregnancy-related deaths (A), and neonatal deaths to stillbirths (B).
Figure 2Associations between stillbirth rate and proportion of births in health facilities (A) and between neonatal mortality rate and proportion of births in health facilities (B)
Figure 3Associations between stillbirth rate and proportion of mothers with any schooling (A) and between neonatal mortality rate and proportion of mothers with any schooling (B)
Figure 4Timing of pregnancy-related deaths, stillbirth, and neonatal deaths in each region
Causes of pregnancy-related and maternal deaths, by site (excluding Zambia*)
| Total | Pregnancy with abortive outcomes | Hypertensive disorders in pregnancy, childbirth, and puerperium | Obstetric haemorrhage | Pregnancy-related infection | Other obstetric complications | Indirect cause of maternal deaths: non-obstetric complications | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bangladesh | 122 | 81 (66%) | 1 (1%) | 80 | 70 | 2 (3%) | 23 (33%) | 16 (23%) | 6 (9%) | 15 (21%) | 8 (11%) | |
| India | ||||||||||||
| Haryana | 74 | 68 (92%) | 6 (10%) | 62 | 53 | 1 (2%) | 13 (25%) | 9 (17%) | 14 (26%) | 2 (4%) | 14 (26%) | |
| Uttar Pradesh | 161 | 156 (97%) | 9 (6%) | 147 | 131 | 4 (3%) | 14 (11%) | 37 (28%) | 14 (11%) | 18 (14%) | 44 (34%) | |
| Pakistan | ||||||||||||
| Matiari | 70 | 67 (96%) | 0 | 67 | 63 | 0 | 17 (27%) | 13 (21%) | 8 (13%) | 5 (8%) | 20 (32%) | |
| Karachi | 81 | 73 (90%) | 2 (3%) | 71 | 67 | 2 (3%) | 11 (16%) | 15 (22%) | 9 (13%) | 11 (16%) | 19 (28%) | |
| Democratic Republic of the Congo | 75 | 50 (67%) | 3 (6%) | 47 | 46 | 6 (13%) | 1 (2%) | 18 (39%) | 1 (2%) | 6 (13%) | 14 (30%) | |
| Ghana | 79 | 73 (92%) | 2 (3%) | 71 | 65 | 12 (18%) | 10 (15%) | 11 (17%) | 8 (12%) | 9 (14%) | 15 (23%) | |
| Kenya | 29 | 29 (100%) | 0 | 29 | 29 | 2 (7%) | 5 (17%) | 7 (24%) | 9 (31%) | 1 (3%) | 5 (17%) | |
| Tanzania | ||||||||||||
| Ifakara | 33 | 23 (70%) | 0 | 23 | 21 | 1 (5%) | 5 (24%) | 5 (24%) | 3 (14%) | 2 (10%) | 5 (24%) | |
| Pemba | 66 | 61 (92%) | 0 | 61 | 52 | 1 (2%) | 12 (23%) | 18 (35%) | 6 (12%) | 6 (12%) | 9 (17%) | |
| South Asia | 508 | 445 (88%) | 3% (1–7) | 427 | 384 | 2% (1–4) | 21% (17–25) | 23% (19–28) | 14% (10–17) | 12% (9–16) | 27% (22–32) | |
| Sub-Saharan Africa | 282 | 236 (84%) | 1% (0–4) | 231 | 213 | 9% (5–13) | 15% (10–20) | 29% (23–35) | 12% (8–17) | 12% (7–16) | 23% (18–29) | |
Data are n, n (%), or % (95% CI).
Zambia was excluded from calculation of cause of pregnancy-related death because of differences in the enrolment strategy of women of reproductive age.
Proportion of maternal deaths based on total number column.
Overall proportion (95% CI) was obtained from meta-analysis.
Figure 5Causes of pregnancy-related death (A), neonatal deaths (B), antepartum stillbirths (C), and intrapartum stillbirths (D) in each region
Causes of neonatal deaths, by site
| Bangladesh | 995 | 971 (98%) | 933 | 146 (16%) | 342 (37%) | 431 (46%) | 0 | 4 (0%) | 7 (1%) | 1 (0%) | 2 (0%) | |
| India | ||||||||||||
| Haryana | 1399 | 1301 (93%) | 1206 | 306 (25%) | 475 (39%) | 321 (27%) | 5 (<1%) | 2 (0%) | 87 (7%) | 4 (0%) | 6 (0%) | |
| Uttar Pradesh | 1575 | 1481 (94%) | 1375 | 178 (13%) | 531 (39%) | 531 (39%) | 11 (1%) | 12 (1%) | 54 (4%) | 10 (1%) | 48 (3%) | |
| Pakistan | ||||||||||||
| Matiari | 1269 | 1221 (96%) | 1167 | 226 (19%) | 497 (43%) | 377 (32%) | 6 (1%) | 2 (<1%) | 42 (4%) | 0 | 17 (1%) | |
| Karachi | 862 | 795 (92%) | 763 | 173 (23%) | 307 (40%) | 224 (29%) | 8 (1%) | 2 (<1%) | 38 (5%) | 3 (<1%) | 8 (1%) | |
| Democratic Republic of the Congo | 173 | 108 (62%) | 111 | 28 (25%) | 23 (21%) | 56 (50%) | 0 | 1 (1%) | 0 | 0 | 3 (3%) | |
| Ghana | 687 | 598 (87%) | 578 | 169 (29%) | 210 (36%) | 161 (28%) | 0 | 4 (1%) | 16 (3%) | 3 (1%) | 15 (3%) | |
| Kenya | 397 | 271 (68%) | 260 | 102 (39%) | 82 (32%) | 72 (28%) | 1 | 0 | 3 (1%) | 0 | 0 | |
| Tanzania | ||||||||||||
| Ifakara | 221 | 168 (76%) | 159 | 22 (14%) | 62 (39%) | 72 (45%) | 0 | 0 | 2 (1%) | 0 | 1 (1%) | |
| Pemba | 303 | 276 (91%) | 253 | 33 (13%) | 119 (47%) | 79 (31%) | 0 | 0 | 9 (4%) | 1 (0%) | 12 (5%) | |
| Zambia | 363 | 273 (75%) | 261 | 72 (28%) | 70 (27%) | 97 (37%) | 3 (1%) | 2 (1%) | 10 (4%) | 1 (0%) | 6 (2%) | |
| South Asia | 6100 | 5769 (95%) | 5444 | 19% (18–20) | 40% (39–42) | 35% (34–36) | <1% | <1% | 3% (3–4) | <1% | 1% (1–2) | |
| Sub-Saharan Africa | 2144 | 1694 (79%) | 1622 | 24% (22–26) | 34% (32–36) | 37% (34–39) | <1% | <1% | 2% (2–3) | <1% | 2% (2–3) | |
Neonatal pneumonia, sepsis, or meningitis.
Other perinatal cause or other conditions originating in the perinatal period.
Overall proportion (95% CI) was obtained from meta-analysis.